Works matching IS 0309524X AND DT 2018 AND VI 42 AND IP 5
Results: 11
Comparison of computational fluid dynamics and mass-conserving approaches for annual energy production (AEP) evaluation: Part I: analysis of a standard wake model and wind speed/power curve implementations.
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- Wind Engineering, 2018, v. 42, n. 5, p. 436, doi. 10.1177/0309524X18780405
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- Article
Increasing the regulating ability of a wind turbine in a local power system using magnetic continuous variable transmission.
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- Wind Engineering, 2018, v. 42, n. 5, p. 411, doi. 10.1177/0309524X18780404
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- Article
Finite volume free vibration analysis of a new aerodynamic styling wind turbine.
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- Wind Engineering, 2018, v. 42, n. 5, p. 397, doi. 10.1177/0309524X18780403
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- Article
Neural network–based improved active and reactive power control of wind-driven double fed induction generator under varying operating conditions.
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- Wind Engineering, 2018, v. 42, n. 5, p. 381, doi. 10.1177/0309524X18780402
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- Article
Conception of a program for prevention of the dangers related to wind turbines using PYTHON.
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- Wind Engineering, 2018, v. 42, n. 5, p. 458, doi. 10.1177/0309524X18779341
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- Article
A new method of wind speed prediction based on weighted optimal fuzzy c-means and modular extreme learning machine.
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- Wind Engineering, 2018, v. 42, n. 5, p. 447, doi. 10.1177/0309524X18779337
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- Article
De-icing of wind turbine blades by light.
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- Wind Engineering, 2018, v. 42, n. 5, p. 523, doi. 10.1177/0309524X18762691
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- Article
Load application method for shell finite element model of wind turbine blade.
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- Wind Engineering, 2018, v. 42, n. 5, p. 467, doi. 10.1177/0309524X18759897
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- Article
Guided wave–based approach for ice detection on wind turbine blades.
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- Wind Engineering, 2018, v. 42, n. 5, p. 483, doi. 10.1177/0309524X18754767
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- Article
Modelling and performance assessment of a standalone hybrid wind-diesel-superconducting magnetic energy storage system using four-quadrant operation of superconducting magnetic energy storage.
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- Wind Engineering, 2018, v. 42, n. 5, p. 496, doi. 10.1177/0309524X17750158
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- Article
A new artificial neural network–power law model for vertical wind speed extrapolation for improving wind resource assessment.
- Published in:
- Wind Engineering, 2018, v. 42, n. 5, p. 510, doi. 10.1177/0309524X17739382
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- Article